Source-based content and campaign workspace

Reduce tool switching and rework while keeping sources, drafts and approvals in one owned workspace. For marketing teams and content studios producing source-based copy and campaigns, convert licensed source documents, brand rules, campaign briefs and performance data into editor-approved campaign copy and scheduled sends linked to source references. The benefit is a testable hypothesis, measured through approved assets per editorial hour and corrections after publication; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect licensed source documents, brand rules, campaign briefs and performance data, then follow this sequence: 1. Import source documents and PDFs. 2. Retrieve answers from PDFs with citations. 3. Suggest context-aware copy in multiple languages. Resolve uncertain cases with qualified reviewers, approve editor-approved campaign copy and scheduled sends linked to source references, and measure approved assets per editorial hour and corrections after publication against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One brand voice guide and approved source set; final claims, legal checks and publication remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve brand voice, source attribution, claim accuracy and usage permissions. Editors approve substantive changes and publication scope. One brand voice guide and approved source set; final claims, legal checks and publication remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One brand voice guide and approved source set; final claims, legal checks and publication remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: import source documents and PDFs; retrieve answers from PDFs with citations. Support the third module with operator review: suggest context-aware copy in multiple languages. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Client-owned source documents, authorized brand assets and permitted research sources. Cloud asset storage, CRM and marketing platforms, email and SMS senders. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Source library and brief, Editable content and campaign preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for sources, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome editor-approved campaign copy and scheduled sends linked to source references visible beside its evidence, review state and value baseline.